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Machine Learning Engineer

vor 2 Monaten


Munich, Bayern, Deutschland IPPEN Vollzeit
Jobbeschreibung

Wir suchen einen erfahrenen Machine Learning Engineer, der sich auf die Entwicklung von künstlichen Intelligenz-Systemen spezialisiert hat. Als Teil unseres cross-funktionellen Teams in München wirst du an spannenden Projekten mit Large Language Models arbeiten und deine Fähigkeiten in Data Mining, Data Science und Machine Learning-Methoden einsetzen.

Verantwortlichkeiten
  • Analysen und Prognosen durchführen, um Muster und Zusammenhänge in großen Datensätzen zu erkennen
  • Belastbare Vorhersagen und Multi-Arm-Bandit-Algorithmen erstellen
  • Analysen visualisieren und Ergebnisse an interne und externe Stakeholder kommunizieren
  • Die Produkt- und System Owner sowie das Team bei der Entwicklung langfristiger digitaler Produktstrategien unterstützen
Was wir bieten
  • Eine gemeinsame wertvolle Vision: den lokalen Journalismus weiterhin pluralistisch und unabhängig zu gestalten und damit die Meinungsvielfalt in der Gesellschaft zu fördern
  • Spannende und verantwortungsvolle Herausforderungen im Digitaljournalismus
  • Ein dynamisch wachsendes Medienhaus im Herzen von München, wo du interdisziplinär arbeiten und top-aktuelles Wissen im Bereich Online-Medien sammeln kannst
  • Ein angenehmes Betriebsklima mit agilen, kreativen und motivierten Kollegen, bei denen der wertschätzende Umgang einen hohen Stellenwert genießt
Was du mitbringst
  • Ein abgeschlossenes Studium mit IT- oder Daten-Bezug, bspw. Informatik, Data Science, Mathematik, Statistik oder eine vergleichbare Qualifikation
  • Erste Berufserfahrung als Data Analyst und/oder Data Scientist
  • Breites Grundlagenwissen in Data Engineering, Datenanalyse, Modellierung und Multi-Arm-Bandits
  • Sehr gute Kenntnisse in der Anwendung statistischer Methoden, in Optimierungs- und Data Mining-Verfahren sowie in Machine Learning
  • Anwendungssichere Kenntnisse über Datenbanksysteme und -werkzeuge sowie Programmiersprachen, bspw. Python, Java, SQL

Wenn du dich für diese Herausforderung begeistert hast, bewirb dich einfach online bei uns. Wir freuen uns darauf, von dir zu hören